1Session 8 – Hotspot / Classification and Travel Cost / Accessibility(Spatial Clustering Analysis and Network Analysiswith GeoDa and QGIS)Objectives: To analysis spatial pattern of point events, to compute travel cost and measurespatial accessibility through QGIS functionalities.Task 1: Hotspots of GP Surgeries in London Borough Haringey (Spatial Clustering Analysis)Problem solving: Identify clusters of health facilities to … Continue reading “Functionality: Heatmap in QGIS | My Assignment Tutor”
1Session 8 – Hotspot / Classification and Travel Cost / Accessibility(Spatial Clustering Analysis and Network Analysiswith GeoDa and QGIS)Objectives: To analysis spatial pattern of point events, to compute travel cost and measurespatial accessibility through QGIS functionalities.Task 1: Hotspots of GP Surgeries in London Borough Haringey (Spatial Clustering Analysis)Problem solving: Identify clusters of health facilities to support healthcare serviceplanningFunctionality: Heatmap in QGISData set: Map of GP surgeries in Haringey, Map of Haringey boundaryAdd “haringey_gp.shp” and “haringey_boundary.shp”Raster -> Heatmap(Please choose Radius according to the spatial extent of your study area, 500 metersis suggested in this case)Using kernel density estimation to generate a hotspot map of GP surgery inHaringey as a smooth continuous surfaces. Kernel shape as Quartic-biweight.Crop the Heatmap with Haringey boundarySet the colour scheme for the hotspot mapRaster -> Extraction -> ClipperLayer -> Properties -> Style(under “Render type”, choose Singleband pseudocolor)Could you identify hotspots of GP surgeries in Haringey? What does suchspatial pattern reflect?Task 2: Classifications of London Boroughs (Spatial Clustering Analysis)Problem solving: Identify clusters of London boroughs based on health and crimecharacteristics to support urban planningFunctionality: Clusters in GeoDaData set: Deprivation, Health and Crime variable by London BoroughInput the Shape file of “london_life_polygon.shp” in GeoDa:Geoda -> Clusters -> K Means-> Hierarchical2(Please not tick OR tick Use geometric centroids Weighting as 1)Could you briefly describe classifications of London Boroughs based on deprivation,health and crime characteristics (without geometric centroids weighting)?Task 3: The shortest path from a Tube station to a GP surgery in London Borough Haringey(Network Analysis)Problem solving: Compute travel cost to estimate spatial impedance to healthcareservicesFunctionality: Road Graph in QGISData set: Map of GP surgeries in Haringey, Map of Tube stations, Map of OS ITN roadlinkAdd “haringey_gp.shp”, “UndergroundStations.shp” and“Haringey_ITN_Road_Link.shp”Vector -> Road graph -> settings (Direction field: Always use default;Speed field: speed)-> Shortest path (Panel)Compute the shortest path from a Tube station to a GP surgery along thelocal road network by shortest distance (criterion of ‘Length’) and by shortesttime (criterion of ‘Time’)Task 4: Accessibility to GP surgeries from Tube stations in London Borough Haringey(Network Analysis)Problem solving: Measure spatial accessibility to healthcare servicesFunctionality: Distance Matrix in QGISData set: Map of GP surgeries in Haringey, Map of Tube stationsOn “haringey_gp.shp” and “UndergroundStations.shp”Vector -> Analysis Tools -> Distance Matrix(In the window of “Distance matrix”,set “Input point layer” as “Haringey_gp.shp”, set “Input unique ID field” as‘UNIQUEREFE’;set “Target point layer” as “UndergroundStations.shp”, set “Target unique ID field” as‘STAtion_NA’;tick “Use only the nearest (k) target points” and put the number as 1,3save as “Distance.csv”Measure relative spatial accessibility of each GP surgery to the nearest Tubestation by Euclidean distance.load “Distance.csv”, join “Haringey_gp.shp” and “Distance.csv”Properties -> Joinscreating a thematic map for accessibility of GP surgeries from underground station-> Properties -> Style -> GraduatedCould you identify GP surgeries having higher accessibility to undergroundstations? Is there any pattern?Go to SpatiaLite, load the “Shapefile” of “Haringey_gp.shp” and “UndergroundStations.shp”.RUN following SQL commends:CREATE VIEW v1 ASSELECT gp. Uniquerefe AS gp_surgery, gp.geometry AS gpsurgery_location,tube.station_na AS tube_station, tube.geometry AS tubestation_locationFROM haringey_gp AS gp, UndergroundStations AS tubeCREATE TABLE accessibility ASSELECT gp_surgery AS “GP surgery”,tube_station AS “Tube station”,Min(St_Distance(gpsurgery_location, tubestation_location)) AS “Distance”,gpsurgery_location as geometryFROM v1GROUP BY gp_surgerySELECT RecoverGeometryColumn(‘accessibility’, ‘geometry’, 27700, ‘POINT’, ‘XY’)Come back QGIS:QGIS -> Add SpatiaLite Layer (choose ‘accessibility’)creating a thematic map for accessibility of GP surgeries from underground station-> Properties -> Style -> GraduatedPlease export the heatmap from Task 1 and the accessibility map (only one map) from Task4 (Project -> Save as Images), and put them into your portfolio. Please answer questions onthese two maps.
